| Onsite - Senior Data Engineer - Columbus, Ohio 43215 at Columbus, Ohio, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2135534&uid= Need Local to Columbus, Ohio 43215 Senior Data Engineer Onsite 4X per week, remote on Fridays: Columbus, Ohio 43215 Open-ended Long-Term Contract Summary: process of moving data from on-prem to the cloud. The candidate hired will be using Azure Data Factory, moving SSIS packages to the cloud, and ultimately ending in Snowflake. This Data Engineer may also be assisting with the technical aspects of a scrum team responsible for developing integrations on Chipotle's Snowflake data warehouse. Their technical skills can be a little lighter on Snowflake, as long as they are willing to learn and have the core experience with SQL, SSIS and Azure. Target Experience: Candidates MUST have great communication and previous enterprise environment experience in addition to being strong with SQL, Microsoft BI Stack, Azure Data Factory and have some professional working experience with Snowflake. It would be great if the candidate has some DBT Cloud Tool experience or familiarity as well. Required Technical Stack: Azure Cloud Expertise Microsoft BI Stack (SSIS) SQL / ETL Azure Data Factory Snowflake Key Responsibilities: Design, develop and maintain scalable data pipelines Develop data ingestion and integrations (REST, SOAP, SFTP, MQ, etc.) processes Take ownership of building data pipelines Actively engage in technology discovery and implementation for both on-prem and in Cloud (i.e. Azure or AWS) to build solution for future systems Develop high performance scripts in SQL/Python/etc. to achieve objectives of enterprise data, BI and analytics need. Incorporate standards and best practices into engineering solutions Manage code versions in source control and coordinate changes across team Participate in architecture design and discussions Provide logical and physical data design, and database modeling Be part of the Agile team to collaborate and to help shape requirements Solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents Supports the development and design of the internal data integration framework Works with system owners to resolve source data issues and refine transformation rules Partner with enterprise teams, data scientist, architects to define requirements and solution Key Qualifications: Have a B.A./B.S. and 5-8 years of relevant work experience; or an equivalent in education and experience Must have excellent experience with Snowflake Hands on experience with Microsoft Stack SSIS, SQL, etc. Possess strong analytical skills with the ability to analyze raw data, draw conclusions, and develop actionable recommendations Experience with the Agile development process preferred Proven track-record of excellence and consistently delivered past project successfully Hands on experience with Azure data factory V2, Azure Databricks, SQLDW or Snowflake, Azure analysis services and Cosmos DB Experience with Python or Scala. Understanding of continuous integration and continuous deployment on Azure Experience with large scale data lake or warehouse implementation on any of the public cloud (AWS, Azure, P) Have excellent interpersonal and written/verbal communication skills Manage financial information in a confidential and professional manner Be highly motivated and flexible Effectively handle multiple projects simultaneously and pay close attention to detail Have experience in a multi-dimensional data environment -- Keywords: message queue business intelligence database information technology Onsite - Senior Data Engineer - Columbus, Ohio 43215 [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2135534&uid= |
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| 02:02 AM 01-Feb-25 |